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Trimmed Mean Test (Yuens test)×Permutationstest (Randomiseringstest)×
ÄmnesområdeStatistikStatistik
FamiljRegression modelRegression model
Ursprungsår19742005
UpphovspersonKaren K. YuenGood (2005); Edgington & Onghena (2007); resampling tradition
TypRobust two-group comparisonNonparametric resampling test
UrsprungskällaYuen, K. K. (1974). The Two-Sample Trimmed t for Unequal Population Variances. Biometrika, 61(1), 165-170. DOI ↗Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
AliasYuen's test, Yuen-Welch test, robust mean comparison, kırpılmış ortalama testirandomization test, exact permutation test, re-randomization test, Permütasyon Testi
Närliggande45
SammanfattningThe trimmed mean test compares two groups using trimmed means, which discard a fixed proportion of the most extreme observations in each tail before averaging. Introduced by Karen K. Yuen in 1974, it is a robust alternative to the classical t-test when the data are non-normal or contain outliers and the population variances are unequal.The permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value.
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ScholarGateJämför metoder: Trimmed Mean Test · Permutation Test. Hämtad 2026-06-17 från https://scholargate.app/sv/compare